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Development of machine learning-based models to predict congenital heart disease: A matched case-control study
2
Zitationen
13
Autoren
2024
Jahr
Abstract
This study underscores the feasibility and efficacy of employing a machine learning-based approach for CHD prediction. The risk scores exhibited potential in identifying pregnant women at high risk for fetal CHD, offering valuable insights for guiding primary prevention and CHD management.
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